




'''simple docstring'''


from __future__ import annotations

from collections.abc import Generator

import requests
from bsa import BeautifulSoup

UpperCAmelCase_					=   "https://www.indeed.co.in/jobs?q=mobile+app+development&l="


def     SCREAMING_SNAKE_CASE							(   a_						:				str = "mumbai"      ):
  __a								=       BeautifulSoup(requests.get(url + location      ).content					,       'html.parser'      )
  # This attribute finds out all the specifics listed in a job
  for job in soup.find_all('div'					,       attrs={'data-tn-component': 'organicJob'}      ):
    __a								=       job.find('a'					,       attrs={'data-tn-element': 'jobTitle'}      ).text.strip()
    __a								=       job.find('span'					,       {'class': 'company'}      ).text.strip()
    yield job_title, company_name


if __name__ == "__main__":
  for i, job in enumerate(fetch_jobs("Bangalore"), 1):
    print(f"""Job {i:>2} is {job[0]} at {job[1]}""")









'''simple docstring'''


import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment





@require_huggingface_suite
class  __lowercase    (	unittest.TestCase			):







   def 		UpperCamelCase__      (						self   )					->     Tuple:
     __a								=       inspect.getfile(accelerate.test_utils   )
     __a								=       os.path.sep.join(
         mod_file.split(os.path.sep   )[:-1] + ['scripts', 'external_deps', 'test_metrics.py']   )

     from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

     __a								=       test_metrics







   @require_cpu
   def 		UpperCamelCase__      (						self   )					->     Tuple:
     debug_launcher(self.test_metrics.main   ,				num_processes=1   )







   @require_cpu
   def 		UpperCamelCase__      (						self   )					->     str:
     debug_launcher(self.test_metrics.main   )







   @require_single_gpu
   def 		UpperCamelCase__      (						self   )					->     Dict:
     self.test_metrics.main()







   @require_multi_gpu
   def 		UpperCamelCase__      (						self   )					->     int:
     print(f"Found {torch.cuda.device_count()} devices."   )
     __a								=       ['torchrun', f"--nproc_per_node={torch.cuda.device_count()}", self.test_file_path]
     with patch_environment(omp_num_threads=1   ):
       execute_subprocess_async(UpperCamelCase   ,				env=os.environ.copy()   )



